BOXER-8251AI: More Power, Greater Flexibility for AI at the Edge

BOXER-8251AI: More Power, Greater Flexibility for AI at the Edge

AAEON, a leader in AI edge solutions, announces the release of the BOXER-8251AI AI edge box PC powered by NVIDIA® Jetson Xavier™ NX. With greater performance and compact size, the BOXER-8251AI offers greater flexibility to bring even more smart applications to life.

The BOXER-8251AI is powered by the innovative Jetson Xavier NX from NVIDIA. Featuring a six-core 64-bit ARM processor, it boasts 384 CUDA® cores, 48 Tensor Cores, and two NVDLA engines capable of running multiple neural networks in parallel, delivering accelerated computing performance up to 21 TOPS. Built to bring dedicated AI processing to the edge, the system also features 8GB of LPDDR4 memory and 16GB of onboard eMMC memory that’s expandable through the Micro-SD card slot.

One of the most innovative features of the NVIDIA Jetson Xavier NX is the ability of users to select five different performance modes. These modes allow users to tailor the number of cores, processor speed, and power draw the system utilizes. Thanks to extensive testing and development by AAEON, along with rugged thermal design, users are able to match processor performance with a thermal performance for each operating mode.

The BOXER-8251AI also provides users with greater flexibility with its compact size and I/O features. With two COM ports and four USB 3.2 Gen 1 ports, as well as Gigabit Ethernet port, the BOXER-8251AI can easily integrate into existing applications as well as new ones. Its rugged, fanless design keeps dust and other contaminants out of the system, offering reliable and low-maintenance operation for more stable performance.

“With the BOXER-8251AI powered by NVIDIA Jetson Xavier NX, users and developers have even greater freedom to select the kind of performance they need for their projects and applications,” said Alex Hsueh, Senior Director of AAEON’s System Platform Division. “Thanks to this flexibility, the BOXER-8251AI is able to power a wide range of AI and edge computing applications from Smart City environments to monitoring public transportation users for fever and compliance with face mask requirements.”

for more: www.aaeon.com

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Mike is the founder and editor of Electronics-Lab.com, an electronics engineering community/news and project sharing platform. He studied Electronics and Physics and enjoys everything that has moving electrons and fun. His interests lying on solar cells, microcontrollers and switchmode power supplies. Feel free to reach him for feedback, random tips or just to say hello :-)

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